Triple
T15701765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cast Courts |
E380609
|
entity |
| Predicate | galleryNumber |
P120358
|
FINISHED |
| Object | 46A |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 46A | Statement: [Cast Courts, galleryNumber, 46A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: galleryNumber Context triple: [Cast Courts, galleryNumber, 46A]
-
A.
numberOfGalleries
Indicates the total count of galleries associated with or contained by a given entity.
-
B.
hasGallery
Indicates that one entity possesses, contains, or is associated with a gallery, such as a collection or display space.
-
C.
gallerySpace
Indicates that one entity serves as a gallery or exhibition space for displaying the other entity.
-
D.
galleryManager
Indicates a relationship where one entity is responsible for overseeing, organizing, and managing the operations or contents of an art or exhibition gallery for another entity.
-
E.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:45 a.m.